Learning data-driven reduced elastic and inelastic models of spot-welded patches

Reille A. ; Champaney V. ; Daim F. ; Tourbier Y. ; Hascoet N. ; Gonzalez D. ; Cueto E. (Universidad de Zaragoza) ; Duval J.L. ; Chinesta F.

Resumen: Solving mechanical problems in large structures with rich localized behaviors remains a challenging issue despite the enormous advances in numerical procedures and computational performance. In particular, these localized behaviors need for extremely fine descriptions, and this has an associated impact in the number of degrees of freedom from one side, and the decrease of the time step employed in usual explicit time integrations, whose stability scales with the size of the smallest element involved in the mesh. In the present work we propose a data-driven technique for learning the rich behavior of a local patch and integrate it into a standard coarser description at the structure level. Thus, localized behaviors impact the global structural response without needing an explicit description of that fine scale behaviors.

Idioma: Inglés

DOI: 10.1051/meca/2021031

Año: 2021

Publicado en: Mechanics and Industry 22 (2021), [17 pp.]
ISSN: 2257-7777

Factor impacto JCR: 0.995 (2021)

Categ. JCR: MECHANICS rank: 126 / 138 = 0.913 (2021) - Q4 - T3
Categ. JCR: ENGINEERING, MECHANICAL rank: 125 / 137 = 0.912 (2021) - Q4 - T3

Factor impacto CITESCORE: 1.5 - Materials Science (Q3) - Engineering (Q3)

Factor impacto SCIMAGO: 0.264 - Materials Science (miscellaneous) (Q3) - Industrial and Manufacturing Engineering (Q3)

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)